Key | Value |
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FileName | ./usr/lib/python3/dist-packages/osgeo/_ogr.cpython-39-mips64el-linux-gnuabi64.so |
FileSize | 760184 |
MD5 | 1EBC90E4E71DCF1B483DA2E0032F43A4 |
SHA-1 | 02D9414CABCEDEE18452D8608C6099D066B6F8E1 |
SHA-256 | 55651014406F1211F07E0E67E4E479C787F07B962A4854096A7CA53FFB6F2066 |
SSDEEP | 12288:7cTTtuPSssZLWmsNUOqShXCK61LhSvgz10Wy2FWcGqR+GJfp8E9a83kqgcoyRmKh:7cT5SSswS/CtiSJZQYzypO7hIqhlI6rR |
TLSH | T13FF439493F052E02D489CE3240BEC1BA571CFCEB35219965797C6A76344B8FE1EEAD42 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 943500 |
MD5 | 0C2A9ACDAC828DE49215F8CC78D30797 |
PackageDescription | Python 3 bindings to the Geospatial Data Abstraction Library GDAL is a translator library for raster geospatial data formats. As a library, it presents a single abstract data model to the calling application for all supported formats. The related OGR library (which lives within the GDAL source tree) provides a similar capability for simple features vector data. . GDAL supports 40+ popular data formats, including commonly used ones (GeoTIFF, JPEG, PNG and more) as well as the ones used in GIS and remote sensing software packages (ERDAS Imagine, ESRI Arc/Info, ENVI, PCI Geomatics). Also supported many remote sensing and scientific data distribution formats such as HDF, EOS FAST, NOAA L1B, NetCDF, FITS. . OGR library supports popular vector formats like ESRI Shapefile, TIGER data, S57, MapInfo File, DGN, GML and more. . This package contains Python 3 bindings for the GDAL/OGR library. |
PackageMaintainer | Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org> |
PackageName | python3-gdal |
PackageSection | python |
PackageVersion | 3.3.2+dfsg-1 |
SHA-1 | E79CCD6F219E573A00705E41C50466C1B97166CE |
SHA-256 | 95D55BEC33FAF38F85EBD276E63CBD24576D817B8D1433E42CAB0A3BA3F57C4B |